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Multi-Level Heterogeneous Modeling of F22 Electrical

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 41061
Amount: $97,440.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1998
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
3016 COVINGTON STREET
West Lafayette, IN 47906
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian T. Kuhn
 (765) 494-3343
Business Contact
Phone: () -
Research Institution
N/A
Abstract

Recently, PCKA personnel developed a modeling technique that will revolutionize power/drive system simulation. Therein, a detailed state model is automatically developed from a circuit description of the power/drive system component. This approach, which is referred to as an automated state model generator (ASMG), markedly reduces the engineering time needed to implement a detailed simulation that is typically orders of magnitude faster than using other circuit-based approaches. In spite of these breakthroughs, the complexity of typical systems that are being considered by DoD agencies is such that it remains impractical to implement a detailed simulation of the entire system in a homogeneous computational environment on even the most powerful workstations using commercial simulation programs. The objective of the Phase I research is to determine the feasibility of an automated model interconnection algorithm for the F22 electrical power subsystem that selects component models of the appropriate detail, identifies potential model-order reductions, identifies computational subsystems to be implemented on parallel networked computers, and supplies the appropriate information to the server to synchronize the overall simulation. The research proposed herein is necessary to take full advantage of the capabilities provided by recent and anticipated commercial developments in heterogeneous network computing.

* Information listed above is at the time of submission. *

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